SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus for which no known effective antiviral drugs are available. In the present study, to accelerate the discovery of potential drug candidates, bioinformatics-based in silico drug discovery approaches are utilized. We performed multiple sequence alignments of the Spike (S) protein with 75 sequences of different viruses from the Orthocoronavirinae subfamily. This provided us with insights into the evolutionarily conserved domains that can be targeted using drugs or specific antibodies. Further, we analyzed the mechanism of SARS-CoV-2 core proteins, i.e., S and RdRp (RNA-dependent RNA polymerase), to elucidate how the virus infection can utilize hemoglobin to decrease the blood oxygen level. Moreover, after a comprehensive literature survey, more than 60 antiviral drugs were chosen. The candidate drugs were then ranked based on their potential to interact with the Spike and RdRp proteins of SARS-CoV-2. The present multidimensional study further advances our understanding of the novel viral molecular targets and potential of computational approaches for therapeutic assessments. The present study can be a steppingstone in the selection of potential drug candidates to be used either as a treatment or as a reference point when designing a new drug/antibody/inhibitory peptide/vaccine against SARS-CoV-2.

This study is an exploration of collective patterns of conscious experience, as described by various psychological models, using a self-report questionnaire: The Consciousness Quotient Inventory (CQ-i). The CQ-i evaluates patterns of behaviors, attitudes, and attentional styles as well as the usage of conscious skills, awareness, and the capacity to “feel awake and alive,” providing a complex exploration of conscious experience. A set of 237 items covering major aspects of the subjective conscious experience was selected to detect the phenomenal patterns of subjective conscious experience. An exploratory factor analysis on a large sample (N = 2,360), combined with our previous meta-research on conceptual convergence of conscious experiences, revealed that these experiences appear to have 15 patterns common to all of us. A sample with a quasi-normal distribution (n = 2,266) was employed for standardization and classification of scores (M = 100; SD = 15). The study provides a conceptual framework for future in-depth studies on collective patterns of self-awareness, inner growth dynamics, and psychological maturity.

After two decades of cross-referencing systematically collected observational data contributed by citizen scientists, followed by fundamental research and development, we have initiated “quantum social learning” or QSL, and its transdisciplinary framework, approach, and praxis called “inside out learning experience ecosystem” or IOLEE. QSL defines quantum (plural: quanta) as the most subtle aspect of human experience, qualia, which are individual instances of subjective, conscious experience as: particulates and fields of intuitions, thoughts, feelings, sensations, and perceptions. QSL’s interpretation of quantum theory orients towards studying these qualia; interoception attunes our language skills to those qualia that emerge from within, and social framing enables us to understand these qualia as the basis of intra-action (Karen Barad). This continuous orienting, attuning, and understanding, from the inside out, evolves learning to the realization that what we experience subjectively and objectively, past, present and future, is in superposition and thus simultaneously experienced. We gain an experiential understanding of, among other things, the fragmentation of time, entanglement, superposition, coherence; pervading through the permeable boundaries between the unconscious, subconscious, and conscious, and between what we experience subjectively and intersubjectively; and how the way we observe, dynamically structures our interpretation of reality. QSL’s framework introduces specificity, defining those aspects that we wish to evaluate, predict, and test. We regard testing as a continuous process that involves a self-reflexive, interoceptive, evaluative cross-referencing of anecdotal observational evidence, and scientific observation from multiple points-of-view. The objective is to evolve the learner’s capacity to restore the most natural inclusive flow.

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